Text Classification
Transformers
Laya
English
multilingual
typed-decisions
non-autoregressive
axera
ax650
Instructions to use AXERA-TECH/Laya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXERA-TECH/Laya with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AXERA-TECH/Laya")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AXERA-TECH/Laya", device_map="auto") - Laya
How to use AXERA-TECH/Laya with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit History
27 days ago
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Correct AX637 decision agreement
yongqiangac8a43d -
Correct AX620E benchmark figure
yongqiang035fa9a -
Show board IPv4 demo URL
yongqiang4b20396 -
Align backend README structure
yongqiangdd383a5 -
Add AX620E and AX637 demos
yongqiangdc7e11c
28 days ago
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Add AX620E and AX637 backends
yongqiang14a0ae5